
In simple English
This tool acts as a single front door for all your AI tools and server connections. It lets you collect different AI services and standard APIs into one organized place. You get centralized security, rate limits, and monitoring without changing every client app. It runs on your own server or in the cloud, and it is free to use under an open source licence. Setting it up takes some technical skill with command-line tools and environment files.
What it is
ContextForge is an open source AI gateway, registry, and proxy created by IBM. It federates Model Context Protocol (MCP), Agent-to-Agent (A2A), and REST or gRPC APIs into unified endpoints.
What it is good for
Solo builders who manage multiple AI agents and backend tools want a single secure gateway that handles authentication, logging, and protocol translation.
- Combines MCP servers, REST APIs, and gRPC services into one unified endpoint.
- Includes a built-in admin user interface for real-time management and log monitoring.
- Supports OpenTelemetry tracing so you can track requests across all your connected agents.
- Requires generating and setting strict security secrets before the gateway will start.
- Heavy multi-container setups need PostgreSQL and Redis running alongside the gateway.
- Not suitable for beginners who want a simple plug-and-play desktop application.
manual proxy scripts and custom API routing glue code
PostgreSQL for storing configuration and Redis for caching session data
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mkdir mcpgateway && cd mcpgateway python3 -m venv .venv && source .venv/bin/activate pip install --upgrade pip pip install mcp-contextforge-gateway python3 -m mcpgateway.scripts.init_secrets